Field and laboratory experiments were conducted during the course of study to
test if the sunflower residues along or with 50% full rate of trifluralin herbicide has
any impact on mycorrhizal association and soil nitrification which are important
processes for improving growth and productivity of crops. Results revealed that
incorporation of sunflower residues significantly increased spores number at 2, 4
and 6 weeks of residue decomposition compared to control treatment. However,
when the residues applied in combination with reduced rate of trifluralin herbicide,
sporulation was appreciably decreased by sunflower residues at 3 t ha-1 but it
remains almost the same at 6 t ha-1 rate of residues. Field soil amended with label
rate of trifluralin showed lower sporulation during the first six weeks from
beginning of the experiment. Colonization rate was appreciably increased by
application of sunflower residues at 6 t ha-1 and decreased by label rate of herbicide
and weed free treatments. The highest colonization intensity (83.4) was recorded by
application of sunflower residues at 6 t ha-1, followed by treatment of sunflower
residues at 3 t ha-1 (72.2). Label rate of herbicide recorded the least colonization
intensity (54.4). Incorporation of sunflower residues at 3 and 6 t ha-1 significantly
reduced nitrification rate at all incubation periods in comparison to control.
However, when the residues was applied along with the reduced rate of herbicide,
nitrification rate was significantly increased over the sole application of sunflower
residues at all incubation periods except 4 and 8 days incubation periods but it
remains below control. Soil sterilization treatment showed the least nitrification rate
at all incubation periods. In all bioassay experiments, the amounts of NH4
+
converted
in the incubated soil was significantly correlated with the amount of NO3
- produced
over the periods of incubation suggesting that soil incubation is efficient method that
can be used for measuring nitrification process.It can conclude Sunflower residues
amended in field soil was found to provide a good medium for growing Glomus
mosseae fungus and best way to inhibited nitrification rate and thus may contribute
in alleviating losses of NO3 used by plants and reducing the environmental
pollution.
This work describes the synthesis of novel ligand (H2L2) (4-((2-hydroxy-5-nitrophenyl)imino)methyl)-5(hydroxymethyl)-2methylpyridin-3-ol) type (NOO) donor atoms. When it coordinates with metal ions[V2+,Mn2+,Fe2+,Co2+,Ni2+,Cu2+and Pt4+] with the general formula K2[M(L2)2].XH2O and K2[VO(L2)(OSO3)].H2O . This ligand can form tridentate structures. The ligand was synthesized from the reaction of pyridoxal hydrochloride with 2-amino-4-nitrophenol in ethanol (as a solvent) at a mole ratio of 1:1 and thoroughly mixed and refluxed for 6-8 hrs . The reaction
... Show MoreNovel bidentate Schiff bases having nitrogen-sulphur donor sequence was synthesized from condensation of racemate camphor, (R)-camphor and (S)-camphor with Methyl hydrazinecarbodithioate (SMDTC). Its metal complexes were also prepared through the reaction of these ligands with silver and bismuth salts. All complexes were characterized by elemental analyses and various physico-chemical techniques. These Schiff bases behaved as uninegatively charged bidentate ligands and coordinated to the metal ions via ?-nitrogen and thiolate sulphur atoms. The NS Schiff bases formed complexes of general formula, [M(NS)2] or [M(NS)2.H2O] where M is BiIII or AgI, the expected geometry is octahedral for Bi(III) complexes while Ag(I) is expected to oxidized t
... Show Morenew six mixed ligand complexes of some transition metal ions Manganese (II), Cobalt(II), Iron (II), Nickel (II) , and non transition metal ion zinc (II) And Cadmium(II) with L-valine (Val H ) as a primary ligand and Saccharin (HSac) as a secondary ligands have been prepared. All the prepared complexes have been characterized by molar conductance, magnetic susceptibility infrared, electronic spectral, Elemental microanalysis (C.H.N) and AA . The complexes with the formulas [M(Val)2(HSac)2] M= Mn (II) , Fe (II) , Co(II) ,Ni(II), Cu (II),Zn(II) and Cd(II) L- Val H= (C5H11NO2) , C7H5NO3S The study shows that these complexes have octahedral geometry; The metal complexes have been screened for their in microbiological activities against bacteria.
... Show MoreAbstract
Electrical magnate was designed and constructed, the optimum Magnetic flux and the effect of time on the physical properties of the alkaline (magnetic water) produced from the bottled drinking water [the total dissolved solids (TDS) or the electrical conductivity, and pH] were studied, to simulate ZamZam water in Mekka Saudi Arabia. Also, the efficiency of magnetic field from this designed electrical magnate in decreasing the TDS of sea water (of 1500 ppm NaCl Content), to convert it to water suitable for irrigation (TDS<1000 ppm) was investigated in this work.The results show that the magnetic flux from our designed electrical magnate in the range of (0.013- 0.08) Tesla and 30 minut
... Show MoreIn this paper, we introduce the concept of cubic bipolar-fuzzy ideals with thresholds (α,β),(ω,ϑ) of a semigroup in KU-algebra as a generalization of sets and in short (CBF). Firstly, a (CBF) sub-KU-semigroup with a threshold (α,β),(ω,ϑ) and some results in this notion are achieved. Also, (cubic bipolar fuzzy ideals and cubic bipolar fuzzy k-ideals) with thresholds (α,β),(ω ,ϑ) are defined and some properties of these ideals are given. Relations between a (CBF).sub algebra and-a (CBF) ideal are proved. A few characterizations of a (CBF) k-ideal with thresholds (α, β), (ω,ϑ) are discussed. Finally, we proved that a (CBF) k-ideal and a (CBF) ideal with thresholds (α, β), (ω,ϑ) of a KU-semi group are equivalent relations.
The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
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